TensorFlow tensor to Pandas dataframe

Question

My model learns W:

W = tf.Variable(tf.truncated_normal([pixels,h1],stddev=np.sqrt(2.0 / (pixels))))

I return W from a function that runs my TF graph / session.

In my notebook, I checked type of W:

type(W)
out: tensorflow.python.ops.variables.Variable

I also checked dimensionality of W:

W.get_shape()
out: TensorShape([Dimension(3072), Dimension(1024)])

I'd like to convert W into a Pandas dataframe (for examination, etc.).

How can I do this?

(Saw this answer on converting tensor to numpy with eval(), which could then be written to pandas of course. But that operation only seemed to work within the TF session.)

Hugh Perkins · Accepted Answer · 2016-11-27 02:13:38Z

1

variables only exist within a session. they are defined in the graph, as operations, but dont actually store any values as such, in the graph . they only have values when a session is created from the graph, and initialize operation called (or load is called).

Of course, once you've loaded the value from the varaible, in a session, using eval, you're free to dispose of the session, and use the resulting numpy tensor jsut as any normal numpy tensor.

answered Nov 27, 2016 at 2:13

Hugh Perkins

8,7028 gold badges67 silver badges78 bronze badges

Sign up to request clarification or add additional context in comments.

1 Comment

lmart999 Over a year ago

right, got it. as you said, i re-wrote W as numpy tensor (W = W.eval()) within the session and returned from function call / fed into pandas.

Collectives™ on Stack Overflow

TensorFlow tensor to Pandas dataframe

1 Answer 1

1 Comment

Your Answer

Linked

Hot Network Questions

Collectives™ on Stack Overflow

1 Answer 1

1 Comment

Your Answer

Sign up or log in

Post as a guest

Linked

Related